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@@ -31,14 +31,14 @@ This model achieves the best performance comparing other instruction-following m
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  1. After you git clone this model
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  ```
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  md5sum ./*
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- 45afa71e3067de5119233a57ef9d093d ./config.json.99a4ef2a26cb38c7f684cb83ed9343f660c561dd5a02a97d1b34b47419324dc5.enc
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  f9b33d359f17a437f6c24b4de6f2272e ./generation_config.json.fd7ff399e5568cc21a0a8414f43df88ef7c424995b9b97a90563165d2cf79efd.enc
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- 172013287b452114abf5c0e64936f45b ./pytorch_model-00001-of-00002.bin.166879223b7504f1632d72b1577d57bceaa8fdeee1857c61119e575c50a4aae5.enc
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- 384f8dc3b6da063c5f7554c52c531c44 ./pytorch_model-00002-of-00002.bin.2319db050dc286cb22c6e08a51a4ec0d9377017a7182a20a12c39eb658f39c80.enc
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- 2ac1e5262eefd012918724d68813d03e ./pytorch_model.bin.index.json.f56e69fedde5d28e4f37f2b62f74e8522bbfa13395a6d696d1ef99222a431ab7.enc
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- c066b68b4139328e87a694020fc3a6c3 ./special_tokens_map.json.ca3d163bab055381827226140568f3bef7eaac187cebd76878e0b63e9e442356.enc
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- 2d5d4156fd237fceae85f28d06751020 ./tokenizer_config.json.a672113277a674d753b5cdcfa6bfc860dc69bfcc5511bdccb0c6af3ed08873a0.enc
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- 39ec1b33fbf9a0934a8ae0f9a24c7163 ./tokenizer.model.9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347.enc
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  ```
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  2. Decrypt the files using the scripts in https://github.com/LianjiaTech/BELLE/tree/main/models
@@ -76,14 +76,14 @@ You can verify the integrity of these files by performing an MD5 checksum to ens
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  Here are the MD5 checksums for the relevant files:
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  ```
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  md5sum ./*
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- a57bf2d0d7ec2590740bc4175262610b ./config.json
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  2917a1cafb895cf57e746cfd7696bfe5 ./generation_config.json
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- 252143e5ed0f0073dc5c04159a0f78c2 ./pytorch_model-00001-of-00002.bin
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- 3f71478bd783685f0a45fc742af85042 ./pytorch_model-00002-of-00002.bin
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- d5230ae5fb3bfd12df98af123be53cf5 ./pytorch_model.bin.index.json
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- 8a80554c91d9fca8acb82f023de02f11 ./special_tokens_map.json
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- 414f52220807d1300ad700283141de69 ./tokenizer_config.json
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- eeec4125e9c7560836b4873b6f8e3025 ./tokenizer.model
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  ```
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  ## Use model
 
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  1. After you git clone this model
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  ```
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  md5sum ./*
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+ 29db882bdab3131ef05943ee8ba82e2c ./config.json.6375ff434583e14cfc1fd45f9f599ddb9c689cb9b8c542d427dc6d5dc1059037.enc
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  f9b33d359f17a437f6c24b4de6f2272e ./generation_config.json.fd7ff399e5568cc21a0a8414f43df88ef7c424995b9b97a90563165d2cf79efd.enc
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+ 794e28fff16ef8c3fe9e48e3aa6ccf3a ./pytorch_model-00001-of-00002.bin.b552ebc4dd499812cfe1e45ffcaad0ee93851ef83df95eb4f824be53b25e5531.enc
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+ 1ab136a4489016c3004e3f04c438f268 ./pytorch_model-00002-of-00002.bin.45adb5c7b91f81b2c03c913f2e52487a0e22663e088063b699c6a903101b7968.enc
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+ 0d6db7f247a51589f3dd6d08dbfe64ce ./pytorch_model.bin.index.json.4f08b269e18619675bc3fd62f6efb3a8d59f9d54fa50f5625d0bba7adabaf90e.enc
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+ 34696bfce7b27548cfc2410e2b55762e ./special_tokens_map.json.96bdbb8504d9967606e5f661ccc7cbbac44a3661af863a7a58614670a0ccab33.enc
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+ 6014cf2235521f974c8d9fb69b6cf07e ./tokenizer_config.json.7078cc180b3d35e7ccd06b49ede4a7fef85f2572bda40c1fe2fc8f9ab25418d3.enc
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+ 56724a79091f3d1877cca65c6412d646 ./tokenizer.model.0b716a618c9e7c45648f91d997431eba3b0ff111b17ce7b777280ed771a49f95.enc
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  ```
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  2. Decrypt the files using the scripts in https://github.com/LianjiaTech/BELLE/tree/main/models
 
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  Here are the MD5 checksums for the relevant files:
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  ```
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  md5sum ./*
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+ 139cb9dc0065bd878b277860c70add74 ./config.json
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  2917a1cafb895cf57e746cfd7696bfe5 ./generation_config.json
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+ 2f6cce3296b6bfeb8beb1629bf07dfe9 ./pytorch_model-00001-of-00002.bin
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+ 8fe5b4ad70788b3a6086ef28709a8730 ./pytorch_model-00002-of-00002.bin
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+ e5385004e4876ea6b93d6126e845a82f ./pytorch_model.bin.index.json
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+ 15f7a943faa91a794f38dd81a212cb01 ./special_tokens_map.json
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+ 08f6f621dba90b2a23c6f9f7af974621 ./tokenizer_config.json
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+ 6ffe559392973a92ea28032add2a8494 ./tokenizer.model
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  ```
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  ## Use model